Tolerance Synthesis of Delta-like Parallel Robots Using a Nonlinear Optimisation Method
dc.contributor.author | Allaoua Brahmia | |
dc.contributor.author | Adlen Kerboua | |
dc.contributor.author | Ridha Kelaiaia | |
dc.contributor.author | Ameur Latreche | |
dc.date.accessioned | 2024-05-26T08:56:56Z | |
dc.date.available | 2024-05-26T08:56:56Z | |
dc.date.issued | 2023-07-26 | |
dc.description.abstract | Robotic systems require high accuracy in manipulating objects. Positioning errors are influenced by geometric tolerances and various sources. This paper introduces a new technique based on the interior-point algorithm optimisation method to allocate tolerances to the geometric parameters of a robot. This method consists of three steps. First, a method for modelling the kinematic problem as well as the geometric errors must be used. The Denavit–Hartenberg rule is the most suitable method for this modelling case. Then, a mathematical model for tolerance allocation is developed and used as a nonlinear multivariable optimisation problem. Finally, the “interior-point” algorithm is used to solve this optimisation problem. The accuracy and efficiency of the proposed method, in determining the tolerance allocations for a Delta parallel robot, is illustrated via calculation and simulation results. The values of the dimensional tolerances found are optimal. As a result, these values always keep the accuracy less than or equal to the imposed value. | |
dc.identifier.other | https://www.mdpi.com/2076-3417/13/19/10703# | |
dc.identifier.uri | http://dspace.univ-skikda.dz:4000/handle/123456789/1858 | |
dc.language.iso | en | |
dc.publisher | Applied Sciences | |
dc.title | Tolerance Synthesis of Delta-like Parallel Robots Using a Nonlinear Optimisation Method | |
dc.type | Article |